November 13th, 2013
July 14th, 2013
AMD CodeXL is a free set of tools for GPU debugging, GPU profiling, static analysis of OpenCL kernels, and CPU profiling, including support for remote servers. For more information and download links, see: http://developer.amd.com/community/blog/2013/11/08/codexl-1-3-released/
Bolt is an STL compatible C++ template library for creating data-parallel applications using C++ (no C++ AMP / OpenCL code required). For more information about the Bolt template library and download links, see: http://developer.amd.com/tools-and-sdks/heterogeneous-computing/amd-accelerated-parallel-processing-app-sdk/bolt-c-template-library/
AMD APP SDK has everything needed to get started with OpenCL and parallel programming. It includes OpenCL samples that are very easy to compile, as well as the Bolt and other libraries. For more information about AMD APP SDK and download links, see: http://developer.amd.com/tools-and-sdks/heterogeneous-computing/amd-accelerated-parallel-processing-app-sdk/
February 25th, 2013
From a recent press release:
AMD’s APP SDK is an essential resource for developers who wish to leverage the processing power of heterogeneous computing. OpenCL™ is the primary mechanism for achieving this today, but AMD’s goal is to enable developers to accelerate applications with the programming paradigm of their choice. Toward that end, AMD has added support for heterogeneous libraries such as the newly released Bolt open source C++ template library and OpenCV computer vision library which now includes heterogeneous acceleration.
New to APP SDK 2.8.1:
Bolt: With the recent launch of Bolt 1.0, AMD has added several samples to the APP SDK to demonstrate Bolt 1.0 features. These showcase the usage of Bolt APIs such as scan, sort, reduce and transform. Other new samples highlight the ease of porting from STL and the performance benefits achieved over equivalent STL implementations. We’ve also included samples to demonstrate the different fallback options available in Bolt 1.0 when no GPU is available which ensure your code runs correctly on any platform.
OpenCV: AMD has been working closely with the OpenCV open source community to add heterogeneous acceleration capability to the world’s most popular computer vision library. These changes are already integrated into OpenCV and are readily available for developers who want to improve performance and efficiency of their computer vision applications. AMD has included samples to illustrate these improvements and highlight how simple it is to include them in your app.
GCN: AMD recently launched its new Graphics Core Next (GCN) architecture on several AMD products. GCN is based on a scalar architecture vs. the VLIW vector architecture of prior generations, so hand-tuned vectorization to optimize hardware utilization is no longer needed. We’ve modified several samples in AMD APP SDK 2.8.1 to show the ease of writing scalar code as compared to vectorization.
For more information, see developer.amd.com.
January 29th, 2013
Calling all software development innovators in general purpose GPU (GPGPU), data parallel and heterogeneous computing. On November 11-14, 2013 AMD will host the AMD 2013 Developer Summit in San Jose California. The AMD Developer Summit conference board has issued a call for presentation proposals, inviting creators of next-generation software to share research and development work through presentations based on the latest technical papers or reports.
The AMD Developer Summit will be a great venue for developers, academics and innovative entrepreneurs to network with others engaged in related work, collectively defining the future course of heterogeneous computing. And delivering a presentation offers you the perfect opportunity to advocate programming paradigms or gain support for industry standards.
The submission deadline is Mar. 15, 2013, and the submission website is available at: https://www.easychair.org/conferences/?conf=ads2013
January 25th, 2013
AccelerEyes has released dates for their upcoming CUDA and OpenCL training courses.
More information can be found on the courses’ webpages.
October 9th, 2012
Acceleware has recently announced four courses on parallel programming:
- OpenCL on AMD APU CPUs: Jan 29 to Feb 1, 2013, Chicago, IL and Apr 9 to Apr 12, 2013, Los Angeles, CAL
- 4 Day CUDA Course with an Oil and Gas focus: Mar 12 to Mar 15, 2013, Houston, TX
- 4 Day C++ AMP Training: Apr 23 to Apr 26, 2013, Seattle, WA
More information is available on the courses’ webpages.
July 11th, 2012
AMD CodeXL is a new unified developer tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs. It includes powerful GPU debugging, comprehensive GPU and CPU profiling, and static OpenCL™ kernel analysis capabilities, enhancing accessibility for software developers to enter the era of heterogeneous computing. AMD CodeXL is available for free, both as a Visual Studio® extension and a standalone user interface application for Windows® and Linux®.
AMD CodeXL increases developer productivity by helping them identify programming errors and performance issues in their application quickly and easily. Now developers can debug, profile and analyze their applications with a full system-wide view on AMD APU, GPU and CPUs.
AMD CodeXL user group (requires registration) allows users to interact with the CodeXL team, provide feedback, get support and participate in the beta surveys.
June 27th, 2012
This paper presents results of an implementation of code generator for fast general matrix multiply (GEMM) kernels. When a set of parameters is given, the code generator produces the corresponding GEMM kernel written in OpenCL. The produced kernels are optimized for high-performance implementation on GPUs from AMD. Access latencies to GPU global memory is the main drawback for high performance. This study shows that storing matrix data in a block-major layout increases the performance and stability of GEMM kernels. On the Tahiti GPU (Radeon HD 7970), our DGEMM (double-precision GEMM) and SGEMM (single-precision GEMM) kernels achieve the performance up to 848 GFlop/s (90% of the peak) and 2646 GFlop/s (70%), respectively.
(K. Matsumoto, N. Nakasato, S. G. Sedukhin: “Implementing a code generator for fast matrix multiplication in OpenCL on the GPU”, accepted for Special Session: Auto-Tuning for Multicore and GPU (ATMG), IEEE 6th International Symposium on Embedded Multicore SoCs (MCSoC-12), Sep. 2012. [PDF])
June 25th, 2012
Acceleware has announced two training courses:
Developed in partnership with AMD, this four day course, August 21-24,2012, is designed for GPU Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU. Register before July 31 and receive $200 off your course fee! Enter promotional code AXTEB2012.
Partnering with NVIDIA, this four day course (July 17-20, 2012) is designed for Programmers who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the multi-core processing capabilities of the GPU.
March 30th, 2012
Beyond3D’s first C++ AMP focused contest accepts submissions until August 31, 2012. The contest’s goal is to use parallel programming in order to speed up solving the Traveling Salesman’s Problem. All relevant details are provided on the contest’s dedicated page.
AMD offers an OpenCL Programming Webinar Series to help software developers become experts in the latest technologies, standards and best practices. The series of three OpenCL webinars will be presented by Rob Farber.
1. April 10th, 10AM PDT: Introducing Portable Parallelism
- C and C++ APIs
- OpenCL Memory Spaces
- The OpenCL Execution Model
2. April 24th, 10AM PDT: Coordinating OpenCL Computations on one more Heterogeneous Devices
- How to Concisley Utilize Multiple Command Queues and Coordinate Tasks Across Multiple Heterogeneous Devices such as two GPU + CPU
- Code Sample Discussion: Massively Parallel Random Number Test Framework
3. May 1st, 10AM PDT: Accelerate Rendering by an Order of Magnitude with OpenCL, Plus a View to the Multi-core and Web-enabled Future
- How to use OpenCL to Provide High-Quality, Fast Rendering in Combination with Primitive Restart
- Device Fission, Partitioning Hardware Capabilities for Optimal Resource Usage
- Looking to the Future – WebCL
Registration is limited. More Information: http://developer.amd.com/zones/OpenCLZone/Events/pages/OpenCLWebinars.aspx